The wider market is cautious, and that shapes how banks build specialist teams. The current labour market is best described as 'low hire, low fire', with weaker recruitment but only slight increases in redundancies, and vacancies sitting below pre-pandemic levels Low Pay Commission Report 2025, GOV.UK. In a subdued 2025 economy, businesses took a cautious approach to hiring, but clear demand hotspots remained for specialist skills including AI, data and cyber security Computer Weekly (tech recruitment outlook 2026).
Two signals matter for banking risk teams. First, demand for AI skills increased nearly 200 percent in a year, with London accounting for 80 percent of AI-related job postings The Register (Accenture data). Second, professional, scientific and technical activities saw the largest volume increase in vacancies from August to October 2025, up by 5,000 ONS – Vacancies and jobs in the UK: November 2025. Model risk validation sits right at that intersection of quantitative rigour and AI capability.
Model risk validation is the independent check on the models a bank uses to price risk, forecast losses and meet regulatory capital rules. As those models increasingly use machine learning, validators need to test the data, the assumptions and the AI behind them. That means the skill mix is widening.
Banks are adding these capabilities in particular:
The talent pool for the AI side is still forming. At the same time, entry-level routes are tighter across technical fields, with UK entry-level job postings down 30 percent since ChatGPT's launch techUK – What's actually happening with entry-level and graduate jobs?. Banks that want junior validation talent can't assume it will simply appear.
Start with the model, not the job title. Map which models the role will validate, then define the exact blend of quantitative, AI and regulatory skill you need. A validator for AI-driven credit models needs different depth from one covering market-risk pricing. Being specific here shortens the search and improves the shortlist.
Cast a wide net on background. Digital and engineering occupations are among those with the greatest additional employment demand between 2025 and 2030 GOV.UK - Assessment of priority skills to 2030 (Skills England), so you are competing with every other data-hungry sector for the same people. Someone with strong statistical modelling from an adjacent field can convert quickly with the right support, which widens your options in a tight market.
Build a pipeline, don't just fill a gap. With apprenticeships now a real route into AI roles GOV.UK / DSIT – AI Labour Market Survey 2025 report and entry-level hiring under pressure techUK – What's actually happening with entry-level and graduate jobs?, the banks that grow and validate their own talent will hold an edge. Pair a clear hiring plan with structured onboarding so new validators are productive fast.
Move quickly on the people you want. In a low-hire market, strong quantitative and AI candidates still have choices, so a slow process loses them. Keep interviews tight, decisions fast and feedback honest.
We built our AI recruitment agent to make specialist hiring like this quicker and simpler. It searches a database of 15 million candidates, ranks a shortlist in under 30 seconds, contacts matched people in under a minute and can book an interview in under three minutes, so you spend your time with the right validators rather than sifting CVs. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Ready to build your model risk validation team with Reed.ai? Tell us the skills you need and we'll start today.
